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European journal of mass spectrometry (Chichester, England)2019; 25(3); 339-353; doi: 10.1177/1469066719839034

Tracking main environmental factors masking a minor steroidal doping effect using metabolomic analysis of horse urine by liquid chromatography-high-resolution mass spectrometry.

Abstract: There is an urgent need to implement holistic and untargeted doping control protocols with improved discriminatory power, compared to conventional methods that only target doping agents. Metabolomics, which aims to characterize all metabolites present in biological matrices, could fulfill this need. In this context, the aim of this study was to evaluate the impact of environmental factors on the ability to obtain a metabolic signature of stanozolol administration in horse doping situation. Urine samples from 16 horses breeded in two different places were collected over a one-year period, before, during and seven months after the administration of stanozolol, a horse doping agent. Metabolomic analysis was performed using ultra-high pressure reverse phase liquid chromatography coupled to quadrupole-time-of-flight mass spectrometry (MS). Results showed a major impact of the nutritional regimen, drug administration (for de-worming purpose) and breeding place on the metabolite profiles of horse urines, which hampered the detection of metabolic perturbations induced by stanozolol administration. After having used MS/MS experiments to characterize some MS features related to these environmental factors, we showed that highlighting and then removing the features impacted by these confounding factors before performing supervised multivariate statistical analyses could address this issue. In conclusion, adequate consideration should be given to environmental and physiological factors; otherwise, they can emerge as confounding factors and conceal doping administration.
Publication Date: 2019-05-18 PubMed ID: 31096786DOI: 10.1177/1469066719839034Google Scholar: Lookup
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Summary

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The research examines the extent of impacts of environmental influences on the metabolomic detection of horse doping agents like stanozolol, suggesting that accounting for these influences can improve the accuracy and reliability of doping detection.

Introduction and Objectives

  • This study recognizes the need for better doping control methods that don’t solely focus on the detection of doping agents, but also consider all metabolites in biological materials – an approach known as metabolomics.
  • It sets out to assess how environmental factors might influence the metabolic signature of stanozolol, a commonly used horse doping agent, thus affecting its detection and the effectiveness of anti-doping measures.

Methodology

  • Urine samples were collected from 16 horses bred in two different places over a year. These samples were taken before, during, and seven months after administering stanozolol.
  • These samples were then analyzed using a technique called ultra-high pressure reverse phase liquid chromatography, which was coupled with quadrupole-time-of-flight mass spectrometry (MS).

Results

  • Findings revealed that environmental factors such as the nutritional regimen, the administration of drugs for de-worming, and the breeding place had a significant effect on the metabolic profiles of horse urines.
  • Such variations interfered with the detection of the metabolic changes triggered by the use of stanozolol. This indicates that environmental considerations can mask the detection of doping practices, thus posing potential challenges to doping control.

Outcome and Recommendation

  • The study used MS/MS experiments to identify specific metabolomic features related to these environmental factors. By highlighting and discarding the features affected by these confounding variables, the researchers were able to improve the accuracy of their metabolomic analyses.
  • This led to the conclusion that proper regard for environmental and physiological factors is crucial. Without such consideration, these factors could act as confounders, concealing evidence of doping use.

Cite This Article

APA
Stojiljkovic N, Leroux F, Bubanj S, Popot MA, Paris A, Tabet JC, Junot C. (2019). Tracking main environmental factors masking a minor steroidal doping effect using metabolomic analysis of horse urine by liquid chromatography-high-resolution mass spectrometry. Eur J Mass Spectrom (Chichester), 25(3), 339-353. https://doi.org/10.1177/1469066719839034

Publication

ISSN: 1751-6838
NlmUniqueID: 101124748
Country: England
Language: English
Volume: 25
Issue: 3
Pages: 339-353

Researcher Affiliations

Stojiljkovic, Natali
  • 1 LCH, Laboratoire des Courses Hippiques, Verrières-le-Buisson, France.
  • 2 Sorbonne Universités, Campus Pierre et Marie Curie, IPCM, Paris, France.
Leroux, Fanny
  • 1 LCH, Laboratoire des Courses Hippiques, Verrières-le-Buisson, France.
Bubanj, Saša
  • 3 Faculty of Sport and Physical Education, University of Niš, Niš, Serbia.
Popot, Marie-Agnès
  • 1 LCH, Laboratoire des Courses Hippiques, Verrières-le-Buisson, France.
Paris, Alain
  • 4 Unité Molécules de communication et adaptation des microorganismes (MCAM), Muséum National d'Histoire Naturelle, CNRS, Paris, France.
Tabet, Jean-Claude
  • 2 Sorbonne Universités, Campus Pierre et Marie Curie, IPCM, Paris, France.
  • 5 Service de Pharmacologie et Immunoanalyse, Laboratoire d'Etude du Métabolisme des Médicaments, CEA, INRA, Université Paris Saclay, MetaboHUB, Gif-sur-Yvette, France.
Junot, Christophe
  • 5 Service de Pharmacologie et Immunoanalyse, Laboratoire d'Etude du Métabolisme des Médicaments, CEA, INRA, Université Paris Saclay, MetaboHUB, Gif-sur-Yvette, France.

MeSH Terms

  • Animals
  • Chromatography, Reverse-Phase / methods
  • Chromatography, Reverse-Phase / veterinary
  • Doping in Sports / methods
  • Horses / urine
  • Limit of Detection
  • Mass Spectrometry / methods
  • Mass Spectrometry / veterinary
  • Metabolomics / methods
  • Prednisolone / urine
  • Substance Abuse Detection / methods
  • Substance Abuse Detection / veterinary

Citations

This article has been cited 2 times.
  1. Meng S, Zhang Y, Lv S, Zhang Z, Liu X, Jiang L. Comparison of muscle metabolomics between two Chinese horse breeds. Front Vet Sci 2023;10:1162953.
    doi: 10.3389/fvets.2023.1162953pubmed: 37215482google scholar: lookup
  2. Cloteau C, Dervilly G, Loup B, Delcourt V, Kaabia Z, Bagilet F, Groseille G, Dauriac K, Fisher S, Popot MA, Garcia P, Le Bizec B, Bailly-Chouriberry L. Performance assessment of an equine metabolomics model for screening a range of anabolic agents. Metabolomics 2023 Apr 7;19(4):38.
    doi: 10.1007/s11306-023-01985-0pubmed: 37027080google scholar: lookup